Update app.py

app.py

@@ -1,31 +1,13 @@
-from fastapi import FastAPI
-from pyannote.audio.pipelines import SpeakerDiarization
-import os
-from pyannote.core import Segment
-import torch
+    const express = require('express');
+    const path = require('path');
+    const app = express();
 
-app = FastAPI()
+    // Serve static files from the 'public' directory
+    app.use(express.static(path.join(__dirname, 'public')));
 
-@app.get("/")
-def read_root():
-    auth_token = os.getenv('ID')
-    if auth_token is None:
-        return {"error": "ID environment variable not set"}
-    
-    print(auth_token)
-    
-    # Load the speaker diarization model using the token
-    pipeline = SpeakerDiarization.from_pretrained(
-        "pyannote/speaker-diarization", 
-        use_auth_token="hf_" + auth_token
-    )
+    // ... your other routes and middleware ...
 
-    # Apply diarization on the sample audio file
-    diarization = pipeline("sample.mp3")
-
-    # Print speaker segments
-    for turn, _, speaker in diarization.itertracks(yield_label=True):
-        print(f"Speaker {speaker}: {turn.start:.1f}s --> {turn.end:.1f}s")
-
-    return {"Hello": "World!"}
-    
+    const port = 7860;
+    app.listen(port, () => {
+        console.log(`Server running on port ${port}`);
+    });